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dc.contributor.authorGeoffrey Omuse, Daniel Maina, Jane Mwangi, Caroline Wambua, Alice Kanyua, Elizabeth Kagotho, Angela Amayo, Peter Ojwang, Rajiv Erasmus
dc.date.accessioned2022-01-21T10:26:57Z
dc.date.available2022-01-21T10:26:57Z
dc.date.issued2017
dc.identifier.urihttps://repository.maseno.ac.ke/handle/123456789/4453
dc.description.abstractSeveral equations have been developed to estimate glomerular filtration rate (eGFR). The common equations used were derived from populations predominantly comprised of Caucasians with chronic kidney disease (CKD). Some of the equations provide a correction factor for African-Americans due to their relatively increased muscle mass and this has been extrapolated to black Africans. Studies carried out in Africa in patients with CKD suggest that using this correction factor for the black African race may not be appropriate. However, these studies were not carried out in healthy individuals and as such the extrapolation of the findings to an asymptomatic black African population is questionable. We sought to compare the proportion of asymptomatic black Africans reported as having reduced eGFR using various eGFR equations. We further compared the association between known risk factors for CKD with eGFR determined using the different equations.en_US
dc.publisherBioMed Centralen_US
dc.subjectMDRD, CKD-EPI, Cockcroft-Gault, FAS, eGFRen_US
dc.titleComparison of equations for estimating glomerular filtration rate in screening for chronic kidney disease in asymptomatic black Africans: a cross sectional studyen_US
dc.typeArticleen_US


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